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Animals : an open access journal from MDPI2020; 10(7); 1145; doi: 10.3390/ani10071145

Elo Method and Race Traits: A New Integrated System for Sport Horse Genetic Evaluation.

Abstract: This first survey on Sardinian Anglo-Arab horse (SAA) race traits highlights important aspects for the breeding purpose of this population. The heritability of the race traits were estimated through a trivariate model; the estimates were 0.39, 0.33, and 0.30 for the number of placings, total earnings and Elo rating, respectively. The genetic progress could be improved by using an MT genetic evaluation of stallions and mares, combining information from competition traits.
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Publication Date: 2020-07-06 PubMed ID: 32640698PubMed Central: PMC7401530DOI: 10.3390/ani10071145Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This research studies the race traits of the Sardinian Anglo-Arab horse, and highlights important elements for their breeding purpose. The study estimates the heritability of the race traits, providing values for the number of placings, total earnings and Elo rating. The study suggests the potential for improved genetic progress through multivariate trait genetic evaluation of stallions and mares, combining information from competition traits.

Overview of the Research

  • The research is a first study of its kind on the Sardinian Anglo-Arab horse (SAA), a breed renowned for its racing characteristics. It serves to understand the key genetic components that contribute to their performance.
  • The main objective of the research was to examine the race traits of the SAA and how these could be quantified to improve breeding programs.

Methodology

  • The study uses a trivariate model to estimate the heritability of specific race traits. These traits included the number of placings, total earnings and Elo rating, which is a rating system originally developed for chess but adapted to evaluate horse racing ability.
  • Data was compiled for each trait and subsequently analyzed to produce numerical estimates.

Findings

  • The results of the analysis provided estimates for the number of placings (0.39), total earnings (0.33), and Elo rating (0.30). These figures quantify the heritability of each race trait.
  • These figures imply that each trait has moderate heritability, meaning that they are somewhat influenced by genetic factors.

Recommendations

  • The study concludes that there may be potential to improve the genetic progress of this horse breed through multivariate trait genetic evaluation of stallions and mares. This involves combining information from various competition traits rather than assessing them in isolation.
  • This may potentially lead to more comprehensive breeding programs, improving the overall performance of the Sardinian Anglo-Arab horse.

Cite This Article

APA
Giontella A, Sarti FM, Biggio GP, Giovannini S, Cherchi R, Silvestrelli M, Pieramati C. (2020). Elo Method and Race Traits: A New Integrated System for Sport Horse Genetic Evaluation. Animals (Basel), 10(7), 1145. https://doi.org/10.3390/ani10071145

Publication

Animals : an open access journal from MDPI
ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 10
Issue: 7
PII: 1145

Researcher Affiliations

Giontella, Andrea
  • Department of Veterinary Medicine-Sportive Horse Research Center, University of Perugia, via S.Costanzo 4, 06123 Perugia, Italy.
Sarti, Francesca Maria
  • Department of Agricultural, Food and Environmental Sciences, University of Perugia, Borgo XX Giugno, 74, 06121 Perugia, Italy.
Biggio, Giovanni Paolo
  • AGRIS, Servizio Ricerca Qualità e Valorizzazione delle Produzioni Equine, piazza D. Borgia, 4, 07014 Ozieri, Sassari, Italy.
Giovannini, Samira
  • Department of Agricultural, Food and Environmental Sciences, University of Perugia, Borgo XX Giugno, 74, 06121 Perugia, Italy.
Cherchi, Raffaele
  • AGRIS, Servizio Ricerca Qualità e Valorizzazione delle Produzioni Equine, piazza D. Borgia, 4, 07014 Ozieri, Sassari, Italy.
Silvestrelli, Maurizio
  • Department of Veterinary Medicine-Sportive Horse Research Center, University of Perugia, via S.Costanzo 4, 06123 Perugia, Italy.
Pieramati, Camillo
  • Department of Veterinary Medicine-Sportive Horse Research Center, University of Perugia, via S.Costanzo 4, 06123 Perugia, Italy.

Conflict of Interest Statement

The authors declare no conflict of interest.

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Citations

This article has been cited 5 times.
  1. Önder H, Şen U, Piwczyński D, Kolenda M, Drewka M, Abacı SH, Takma Ç. Comparison of Random Regression Models with Different Order Legendre Polynomials for Genetic Parameter Estimation on Race Completion Speed of Arabian Horses. Animals (Basel) 2022 Sep 30;12(19).
    doi: 10.3390/ani12192630pubmed: 36230370google scholar: lookup
  2. Giontella A, Cardinali I, Pieramati C, Cherchi R, Biggio GP, Achilli A, Silvestrelli M, Lancioni H. A Genetic Window on Sardinian Native Horse Breeds through Uniparental Molecular Systems. Animals (Basel) 2020 Sep 1;10(9).
    doi: 10.3390/ani10091544pubmed: 32882901google scholar: lookup
  3. Giontella A, Silvestrelli M, Cocciolone A, Pieramati C, Sarti FM. Breeding Value Estimation Based on Morphological Evaluation of the Maremmano Horse Population through Factor Analysis. Animals (Basel) 2024 Jul 31;14(15).
    doi: 10.3390/ani14152232pubmed: 39123761google scholar: lookup
  4. Sánchez-Guerrero MJ, Ripollés-Lobo M, Bartolomé E, Perdomo-González DI, Valera M. The Relevance of the Expected Value of the Proportion of Arabian Genes in Genetic Evaluations for Eventing Competitions. Animals (Basel) 2023 Jun 13;13(12).
    doi: 10.3390/ani13121973pubmed: 37370483google scholar: lookup
  5. Giontella A, Sarti FM, Biggio GP, Giovannini S, Cherchi R, Pieramati C, Silvestrelli M. Genetic Parameters and Inbreeding Effect of Morphological Traits in Sardinian Anglo Arab Horse. Animals (Basel) 2020 May 2;10(5).
    doi: 10.3390/ani10050791pubmed: 32370302google scholar: lookup
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